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Common health conditions in childhood and adolescence, school absence, and educational attainment: Mendelian randomization study

Amanda Hughes, Kaitlin Hazel Wade, Matt Dickson, Frances J. Rice, Alisha Davies, Neil M Davies et al. · 2021 · 36 citationsRead the paper

ABSTRACT Objectives To assess the causal relationship of different health conditions in childhood and adolescence with educational attainment and school absence. Design Longitudinal observational study and Mendelian randomization (MR) analyses. Setting Avon Longitudinal Study of Parents and Children (ALSPAC), a population sample of children from South-West England born in 1991-1992. Participants 6113 unrelated children with available GCSE records and genetic data (50% female). Exposures Six common health conditions with known genetic markers measured at age 10 (primary school) and 13 (mid-secondary school). These were: symptoms of Attention-Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), depression, asthma, migraines and BMI. Genetic liability for these conditions and BMI was indexed by polygenic scores. Main outcome measures Educational attainment at age 16 (total GCSE and equivalents points score), school absence at age 14-16. Results In multivariate-adjusted observational models, all health conditions except asthma and migraines were associated with poorer educational attainment and greater school absence. Substantial mediation by school absence was seen for BMI (e.g. 35.6% for BMI at 13) and migraines (67% at age 10), with more modest mediation for behavioural and neurodevelopmental measures of health. In genetic models, a unit increase in genetically instrumented BMI z-score at age 10 predicted a 0.19 S.D. decrease (95% CI: −0.28 to −0.11) in attainment at 16, equivalent to around a 1/3 grade difference in each subject. It also predicted 8.6% more school absence (95% CI:1.3%, 16.5%). Similar associations were seen for BMI at age 13. Consistent with previous work, genetic liability for ADHD predicted lower educational attainment, but did not clearly increase school absence. Conclusions Triangulation across multiple approaches supported a causal, negative influence of higher BMI on educational attainment and school absence. Further research is required to understand the mechanisms linking higher BMI with school absence and attainment. What is already known on this topic On average, children with common health conditions have worse educational attainment It is unclear whether all health-attainment and health-absenteeism associations are causal, or reflect confounding by social and economic circumstances We do not know how much health-related school absenteeism contributes to these associations What this study adds Results support a negative influence of high BMI in secondary school on educational attainment (GCSEs) and absenteeism Absenteeism substantially mediated BMI-GCSE associations, suggesting a target for intervention There was less evidence for causal effects of Autism Spectrum Disorder, depressive symptoms, asthma or migraines on attainment and absenteeism Contribution of absenteeism to ADHD-GCSE associations was modest, suggesting interventions should target other mechanisms

What the full text shows

Tested in real conditions
  • Genetically instrumented higher BMI at age 10 causally predicts lower educational attainment and increased school absence. — -16.79 GCSE points and 8.73% more absence per unit increase in BMI z-score (ALSPAC cohort, age 10)
  • Genetically instrumented higher BMI at age 13 causally predicts lower educational attainment and increased school absence. — -15.90 GCSE points and 8.25% more absence per unit increase in BMI z-score (ALSPAC cohort, age 13)
  • Genetic liability for ADHD predicts lower educational attainment but does not increase school absence. — -2.70 GCSE points per SD increase in ADHD PGS (ALSPAC cohort)
  • School absence mediates the relationship between health conditions and educational attainment, most strongly for migraines and BMI. — 72.0% mediation for migraines (age 10); 39.9% for BMI (age 10) (Phenotypic models)
  • Two-sample MR in adult samples supports a negative causal influence of BMI on total years of schooling. — -0.16 years (IVW) and -0.11 years (weighted median) per unit increase in BMI (Independent adult GWAS samples)
  • Depressive symptoms at age 10 have a stronger association with GCSEs than symptoms at age 13. — -16.4 vs -6.8 GCSE points per SD MFQ score (Phenotypic models)
Setup
6,113 unrelated children from the Avon Longitudinal Study of Parents and Children (ALSPAC) with available genetic data and GCSE records.
How
The study used longitudinal observational data and Mendelian randomization (MR) using polygenic scores (PGS) as instrumental variables. It combined one-sample MR within the ALSPAC cohort and two-sample summary-level MR using external GWAS data.
Limitations
Potential bias from assortative mating or parental effects in MR results. · Small sample sizes for non-mainstream state schools leading to imprecise estimates. · Binary measures for asthma and migraines may not capture full symptom range. · Evidence of pleiotropy in BMI-absenteeism associations.

Summarized by Gemma 4 from the open-access full text · 14 Oct 2026. Read it